Package: PieceExpIntensity 1.0.4

PieceExpIntensity: Bayesian Model to Find Changepoints Based on Rates and Count Data

This function fits a reversible jump Bayesian piecewise exponential model that also includes the intensity of each event considered along with the rate of events.

Authors:Andrew G. Chapple

PieceExpIntensity_1.0.4.tar.gz
PieceExpIntensity_1.0.4.zip(r-4.5)PieceExpIntensity_1.0.4.zip(r-4.4)PieceExpIntensity_1.0.4.zip(r-4.3)
PieceExpIntensity_1.0.4.tgz(r-4.4-x86_64)PieceExpIntensity_1.0.4.tgz(r-4.4-arm64)PieceExpIntensity_1.0.4.tgz(r-4.3-x86_64)PieceExpIntensity_1.0.4.tgz(r-4.3-arm64)
PieceExpIntensity_1.0.4.tar.gz(r-4.5-noble)PieceExpIntensity_1.0.4.tar.gz(r-4.4-noble)
PieceExpIntensity_1.0.4.tgz(r-4.4-emscripten)PieceExpIntensity_1.0.4.tgz(r-4.3-emscripten)
PieceExpIntensity.pdf |PieceExpIntensity.html✨
PieceExpIntensity/json (API)

# Install 'PieceExpIntensity' in R:
install.packages('PieceExpIntensity', repos = c('https://andrewchapple21.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 151 downloads 2 exports 2 dependencies

Last updated 7 years agofrom:53d2420ee5. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:PieceExpIntensityPieceExpIntensity2

Dependencies:RcppRcppArmadillo